Application of Wavelet Domain Adaptive Filtering to De-Noise NMR Data

You Bin Wu; Ran Hong Xie; Li Zhi Xiao

doi:10.4028/www.scientific.net/AMR.588-589.814

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Application of Wavelet Domain Adaptive Filtering...

Application of Wavelet Domain Adaptive Filtering to De-Noise NMR Data

Abstract:

In this paper, the method of wavelet domain adaptive filtering was used to de-noise NMR echo data. Numerical simulation was used to compare the relationship between the SNR of NMR echo data and the results of T2 spectrum inversion before and after the de-noising procedure. The effectiveness of the wavelet domain adaptive filtering in the de-noising of NMR data was demonstrated. Compared with the traditional wavelet threshold de-noising, this adaptive de-noising method can obtain higher SNR results without the loss of useful signal.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

814-817

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.814

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Online since:

November 2012

Authors:

You Bin Wu, Ran Hong Xie, Li Zhi Xiao

Keywords:

Adaptive Filtering, Echo De-Noising, NMR, T2 Inversion, Wavelet Transform (WT)

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